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Computed Tomography (CT)

The term “computed tomography”, or CT, refers to a computerized x-ray imaging procedure in which a narrow beam of x-rays is aimed at a patient and quickly rotated around the body, producing signals that are processed by the machine's computer to generate cross-sectional images—or “slices”—of the body.

( Image credit: Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector )

Papers

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Showing 251–300 of 1207 papers

TitleStatusHype
Classification of lung cancer subtypes on CT images with synthetic pathological priors—0
Classification of lung nodules in CT images based on Wasserstein distance in differential geometry—0
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans—0
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations—0
Automatic Spine Segmentation using Convolutional Neural Network via Redundant Generation of Class Labels for 3D Spine Modeling—0
Ambient Denoising Diffusion Generative Adversarial Networks for Establishing Stochastic Object Models from Noisy Image Data—0
Automatic Segmentation of the Kidneys and Cystic Renal Lesions on Non-Contrast CT Using a Convolutional Neural Network—0
Active Learning on Medical Image—0
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement—0
Novel coronavirus pneumonia lesion segmentation in CT images—0
Automatic segmentation of kidney and liver tumors in CT images—0
Active CT Reconstruction with a Learned Sampling Policy—0
Automatic segmentation and determining radiodensity of the liver in a large-scale CT database—0
Automatic Registration between Cone-Beam CT and Scanned Surface via Deep-Pose Regression Neural Networks and Clustered Similarities—0
A Lightweight Structure Aimed to Utilize Spatial Correlation for Sparse-View CT Reconstruction—0
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT—0
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection—0
A Lightweight Dual-Domain Attention Framework for Sparse-View CT Reconstruction—0
A CT-based deep learning system for automatic assessment of aortic root morphology for TAVI planning—0
Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge—0
Automatic Lung Cancer Prediction from Chest X-ray Images Using Deep Learning Approach—0
Algorithm-driven Advances for Scientific CT Instruments: From Model-based to Deep Learning-based Approaches—0
Iterative CT Reconstruction via Latent Variable Optimization of Shallow Diffusion Models—0
CT Film Recovery via Disentangling Geometric Deformation and Illumination Variation: Simulated Datasets and Deep Models—0
CT Image Harmonization for Enhancing Radiomics Studies—0
CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)—0
Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net—0
Automatic Localization of Deep Stimulation Electrodes Using Trajectory-based Segmentation Approach—0
A lateral semicircular canal segmentation based geometric calibration for human temporal bone CT Image—0
Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury—0
Automatic Left Ventricular Cavity Segmentation via Deep Spatial Sequential Network in 4D Computed Tomography Studies—0
A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image—0
4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis—0
Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration—0
Automatic Intracranial Brain Segmentation from Computed Tomography Head Images—0
Airway Tree Modeling Using Dual-channel 3D UNet 3+ with Vesselness Prior—0
Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning—0
Automatic Airway Segmentation in chest CT using Convolutional Neural Networks—0
A convergence proof of the split Bregman method for regularized least-squares problems—0
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation—0
Cross-Vendor CT Image Data Harmonization Using CVH-CT—0
Automatic 3D liver location and segmentation via convolutional neural networks and graph cut—0
Automated Tumor Segmentation and Brain Mapping for the Tumor Area—0
AI-Powered Intracranial Hemorrhage Detection: A Co-Scale Convolutional Attention Model with Uncertainty-Based Fuzzy Integral Operator and Feature Screening—0
Automated triage of COVID-19 from various lung abnormalities using chest CT features—0
Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction—0
A Continual Learning-driven Model for Accurate and Generalizable Segmentation of Clinically Comprehensive and Fine-grained Whole-body Anatomies in CT—0
AI generated annotations for Breast, Brain, Liver, Lungs and Prostate cancer collections in National Cancer Institute Imaging Data Commons—0
Automated segmentation of 3-D body composition on computed tomography—0
Cross-domain Iterative Network for Simultaneous Denoising, Limited-angle Reconstruction, and Attenuation Correction of Low-dose Cardiac SPECT—0
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